Evidence map›Paper›PMID 34167962›Full record

ArticleBMJ global health2021

Performance assessment of the county healthcare systems in Kenya: a mixed-methods analysis.

Mark W Moses, Julius Korir, Wu Zeng, Anita Musiega, Joyce Oyasi, Ruoyan Lu, Jane Chuma, Laura Di Giorgio

Abstract read
In one paragraph

Article in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Potential of coconut oil as a mosquito repellent.Tropical medicine and health · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Mark W MosesIndependent Researcher mark.w.moses@gmail.com.ORCID 0000-0002-9897-932X
Julius KorirSchool of Economics, Kenyatta University, Nairobi, Kenya.
Wu ZengDepartment of International Health, School of Nursing & Health Studies, Georgetown University, Washington, DC, USA.
Anita MusiegaHealth Economics Research Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Joyce OyasiIndependent Researcher.
Ruoyan LuSchool of Public Health, Fujian Medical University, Fujian, China.
Jane ChumaWorld Bank, Nairobi, Kenya.
Laura Di GiorgioWorld Bank, Washington, DC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA well performing public healthcare system is necessary for Kenya to continue progress towards universal health coverage (UHC). Identifying actionable measures to improve the performance of the public healthcare system is critical to progress towards UHC. We aimed to measure and compare the performance of Kenya's public healthcare system at the county level and explore remediable drivers of poor healthcare system performance.

methodsUsing administrative data from fiscal year 2014/2015 through fiscal year 2017/2018, we measured the technical efficiency of 47 county-level public healthcare systems in Kenya using stochastic frontier analysis. We then regressed the technical efficiency measure against a set of explanatory variables to examine drivers of efficiency. Additionally, in selected counties, we analysed surveys and focus group discussions to qualitatively understand factors affecting performance.

resultsThe median technical efficiency of county public healthcare systems was 84% in fiscal year 2017/2018 (with an IQR of 79% to 90%). Across the four fiscal years of data, 27 out of the 47 Kenyan counties had a declining technical efficiency score. Our regression analysis indicated that impediments to the flow of funding-measured by the budget absorption rate which is the ratio between funds spent and funds released-were significantly related to poor healthcare system performance. Our analysis of interviews and surveys yielded a similar conclusion as nearly 50% of respondents indicated issues stemming from poor budget absorption were significant drivers of poor healthcare system performance.

conclusionPublic healthcare systems at the county-level in Kenya general performed well; however, addressing delays in the flow of funding is a concrete step to improve healthcare system performance. As Kenya-and other countries-provides additional funding to meet their UHC goals, establishing a strong and robust public financial management system is critical to ensure that the benefits of UHC are realised.

Indexed as

Delivery of Health CareUniversal Health InsuranceHumansKenyahealth economicshealth policyhealth systems evaluation

Identifiers

PMID34167962
PMCPMC8230973

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.